Unable to run depthai.sdk for spatial tracking

If I set the set_ir method arguments as you said the scripts work, but what impact does it make, is it turning off the ir projector, than that is bad because my application requires that it gives me depth on feature less surfaces too (like plain walls). Also the USB speed is SUPER when I print it in any script.

But the spatial detection script still doesn't work, it is linked below:

https://docs.luxonis.com/projects/sdk/en/latest/samples/NNComponent/sdk_spatial_detection/#source-code

I also don't know how to add the set_ir parameter since the script above is not creating a stereo object for doing that.

The following scripts I tested with adding the set_ir parameter and it runs with it,

https://docs.luxonis.com/projects/sdk/en/latest/samples/StereoComponent/SDK_stereo/#source-code

https://docs.luxonis.com/projects/sdk/en/latest/samples/StereoComponent/SDK_stereo_control/#source-code

Hi jakaskerl it worked when I changed the chargers. Actually both chargers are of similar rating and the cables are the same, still I don't understand why it didn't work earlier.

I am now trying to flash the readymade Luxonis OAK Rpi images on an sd card which I will later use on Rpi3 which i have but everytime balena etcher flashes the image it shows at the end that it has failed, even after doing 100% validation

I am not sure what could be wrong there?

jakaskerl So the memory card is 32 gbs

jakaskerl I'll check the debugger. Does it come with premium version or free version?

Etcher runs only with admin approval

Redownload didn't work with v9 and v8

jakaskerl It says that the unmount sd card failed in the console after etching the OS?

jakaskerl Hi I was somehow able to make it work with one of the linux pcs I had. But now when I try to run a code which worked on the Desktop PC it gives me the following error

Traceback (most recent call list):

File "/home/pi/Desktop/testrun.py", line 2, in <module>

from depthai_sdk import OakCamera

ImportError: cannot import name 'OakCamera' from 'depthaisdk' (/home/pi/depthai/depthaisdk/src/depthai_sdk/init.py)

jakaskerl I don't think it was a version issue, When I opened the image, there were some files like the Oakcamera.py and other dependencies which should have been there not present in the depthai/depthai_sdk folder, I just pip installed those and cloned those from github.

About the question, I am combining tracker with spatial calculation of the tracked object, both of them combined give me a x,y,z position for a class of detected object in the visualizer, now I want it raw in the form of a list or maybe a ros topic which I can publish and later subscribe to it so that my robot can act according to it, what are some ways to do that? Note ros is only a middleware example I could think of, I would prefer if something in the sdk itself helped me do it

jakaskerl I am still not able to figure out those values, can you tell me the exact api call in the python sdk that I need to type up for getting the x,y,z values?

Here's my code for your reference

from depthai_sdk import OakCamera

import depthai as dai

from depthai_sdk.classes import DetectionPacket

def cb(packet: DetectionPacket):

    print(packet.img_detections)

with OakCamera() as oak:

color = oak.create_camera('color')

# List of models that are supported out-of-the-box by the SDK:

# https://docs.luxonis.com/projects/sdk/en/latest/features/ai_models/#sdk-supported-models

nn = oak.create_nn('yolov8n_coco_640x352', color, tracker=True, spatial=True)

nn.config_nn(resize_mode='stretch')

nn.config_tracker(

    tracker_type=dai.TrackerType.ZERO_TERM_COLOR_HISTOGRAM,

    track_labels=[0], # Track only 1st object from the object map. If unspecified, track all object types

    # track_labels=['person'] # Track only people (for coco datasets, person is 1st object in the map)

    assignment_policy=dai.TrackerIdAssignmentPolicy.SMALLEST_ID,

    max_obj=1, # Max objects to track, which can improve performance

    threshold=0.1 # Tracker threshold

)

nn.config_spatial(

    bb_scale_factor=0.3, # Scaling bounding box before averaging the depth in that ROI

    lower_threshold=500, # Discard depth points below 30cm

    upper_threshold=8000, # Discard depth pints above 10m

    # Average depth points before calculating X and Y spatial coordinates:

    calc_algo=dai.SpatialLocationCalculatorAlgorithm.AVERAGE

)

oak.visualize([nn.out.tracker], fps=True)

# oak.callback(nn.out.tracker, callback=cb)

oak.visualize([nn.out.image_manip], fps=True)

oak.visualize([nn.out.spatials], fps=True)

oak.visualize(nn.out.passthrough)



# oak.start(blocking=True)

oak.start(blocking=True)

jakaskerl there are two detection api packets, SpatialMappingBbpacket and TrackerPacket, which of the x,y,z are more accurate or have optimal estimates from the kalman filter?

jakaskerl In my code I did use Spatial tracking feature, Wouldn't the spatialmapping packet have good results?